Vaisnavi V Ra

DEGREE : Bachelor of Engineering

BRANCH : Computer Science and Engineering

PERSONAL DETAILS

NAME : Vaisnavi V Ra

ID NO : 12Z261

CONTACT ADDRESS:

**, ********* ***** ****,

Kitchipalayam,

Salem- 636015.

Telephone: 969-***-****

E-mail: acvhqk@r.postjobfree.com

DATE OF BIRTH : 06.07.94 AGE: 21 SEX: Female

FATHER'S NAME : Mr. Ramesh V

MOTHER TONGUE: Tamil

LANGUAGES : Read: English, Tamil

Write: English, Tamil

Speak: English, Tamil

EDUCATIONAL DETAILS

Course

Institution

Board/

University

Year of

Completion

Marks %

/ CGPA

X

XII

B.E

(CSE)

Cluny Mat. Hr. Sec. School, Salem

Cluny Mat. Hr. Sec. School, Salem

PSG College Of Technology, Coimbatore

Matriculation

State Board

Anna

University

2010

2012

2016

94

95.25

8.89*

*Cgpa till 8th semester.

B.E SEMESTER MARKS:

YEAR

I

II

III

IV

V

VI

VII

VIII

GPA

9.07

9.05

8.94

8.90

8.94

8.95

8.88

8.89

COMPUTER PROFICIENCY:

Languages : C, C++, Java, C#

Packages : Code Blocks, Microsoft Office 2010, Windows 7, Visual studio, Windows 8,

Net beans

AREAS OF INTEREST:

Data Base Management Systems

OOPS Concepts

ELECTIVES UNDERATAKEN:

Data Warehousing and Mining

Software testing

PROJECT WORKS UNDERTAKEN:

To Design And Develop An Application To Determine Optimum Artificial Neural Network Parameters Using C#

The aim of our project is to employ Artificial Neural Networks for the highest tolerances and the best precision machining in the industry which can predict the deviations occurring in the system that determines the further reaction of the system. This greatly helps in reducing the cost of machining the work piece after getting machined from CNC to get accurate dimension.

Evaluating multiple classifiers for nifty stock price direction prediction

The aim of our project is to predict the direction of selected stock prices of stocks in nifty to find out the best classification method. Forecasting the direction is enough to execute profitable trading strategies. Evaluating multiple classifiers for nifty stock price direction prediction is to analyze the model and find out the fast and efficient model among the classification models like Logistic Regression (LR), Support vector machine (SVM), K-Nearest Neighbors (KNN), Random forest.

Payroll system management and analysis

The project involves the management and the evaluation of the payroll data which is based upon the procedures and rules adapted in the SAIL (“STEEL AUTHOURITY OF INDIA, SALEM”), Salem, a public sector unit in India. The major subsystems involved are the time office, finance &accounting. The analysis of the Pay scale data is carried out in order to gain knowledge about overall system.

.

ACADEMIC ACHIEVEMENTS:

Won Proficiency Award for academics in school.

Topper in matriculation examination 2009-2010.

Secured Centum in Mathematics in class higher secondary examination 2011-2012.

EXTRA & CO-CURRICULAR ACTIVITIES:

Volunteer of “Root Kriya” conducted during KRIYA’14,a technical symposium at PSG college of technology.

Member of Indian Society For Technical Education, 2013-16

Active member of Women Development Cell.

Volunteered Global Leaders Forum events.

Participated in Verve, was runner in 2012.

Class representative, Class X in 2009-10 and semester 4 in 2013-2014.

Won prizes in Inter-school singing competition

HOBBIES:

Dancing

Craft

Listening to music

I, Vaisnavi V Ra do hereby confirm that the information furnished above is true to the best of my knowledge.

SIGNATURE

(Vaisnavi V Ra)

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